Table 4: Logistic regression results of men’s training set.

CoefficientsS.EWald Pseudo AUC

Model 1
 Intercept3.271.412.320.020.050.597
 BMI−0.090.05−1.740.08
Model 2
 Intercept3.281.731.890.050.030.591
 WC−0.020.01−1.420.15
Model 3
 Intercept7.993.052.62 0.0080.090.656
 HC−0.060.02−2.36 0.0183
Model 4
 Intercept0.123.150.04 0.960.0010.498
 WHR0.00890.030.24 0.8120
Model 5
 Intercept28.04017.8291.570.11580.050.596
 BMI−0.14160.1222−1.160.2463
 Wc0.01930.04420.440.6628
Model 6
 Intercept106.64142.6062.500.01230.100.667
 BMI0.11170.12020.930.3528
 HC−0.12130.0645−1.880.0601
Model 7
 Intercept−15.97533.454−0.480.63300.090.636
 BMI−0.16410.0710−2.310.0207
 WHR0.07970.04991.600.1105
Model 8
 Intercept101.73535.6892.850.00440.120.672
 WC0.05320.04041.320.1883
 HC−0.13390.0587−2.280.0226
Model 9
 Intercept−49.90838.546−1.290.19540.130.677
 WC−0.10850.0399−2.720.0065
 WHR0.18360.07702.380.0172
Model 10
 Intercept49.97036.8521.360.17510.120.678
 HC−0.09040.0339−2.670.0077
 WHR0.06330.04511.400.1602
Model 11
 Intercept106.36842.9262.480.01320.120.671
 BMI0.02840.14490.200.8447
 WC0.04790.04850.990.3234
 HC−0.14080.0686−2.050.0400
Model 12
 Intercept−208.65632.5352−0.64 0.5210.130.680
 WC−0.27900.3501−0.80 0.425
 HC0.14600.2967 0.49 0.622
 WHR0.36970.3879 0.95 0.340
Model 13
 Intercept−55.98041.837−1.340.18090.130.681
 BMI0.05370.14760.360.7161
 WC−0.13450.0820−1.640.1013
 WHR0.20150.09162.200.0279
Model 14
 Intercept57.79760.1700.960.33680.120.679
 BMI0.02340.14200.160.8691
 HC−0.09990.0671−1.490.1364
 WHR0.05860.05301.110.2687
Model 15
 Intercept−22.914132.9873−0.690.48730.1390.688
 BMI0.06140.14820.410.6787
 WC−0.32310.3669−0.880.3785
 HC0.15820.29850.530.5960
 WHR0.40620.39931.020.3089